Image to Text Converter
Extract text from images using OCR — select a region or process the entire image. Everything runs in your browser.
Drag & drop, click to browse, or press Ctrl+V / ⌘V to paste
PNG, JPG, WEBP, GIF, BMP · Max 20 MB
What this tool does
This tool extracts text from images using OCR (optical character recognition). Upload a screenshot, photo, or scanned document, then drag to select the text area or process the entire image. The extracted text appears in an editable field where you can copy, review, or make corrections. Everything runs locally in your browser using Tesseract.js - no server uploads required.
How it works
1. Upload your image
Drag and drop a file, click to browse, or paste directly from clipboard (Ctrl+V / ⌘V). The tool accepts PNG, JPG, WEBP, GIF, and BMP files up to 20 MB.
2. Select the text region (optional)
Drag a rectangle over the specific area containing text. This speeds up processing and improves accuracy by focusing only on relevant content. Skip this step to OCR the entire image.
3. Extract and copy
Click "Extract Text" and watch the progress bar as Tesseract.js analyzes the image. The recognized text appears in an editable textarea where you can copy it or make corrections before using it.
When you'd use this
Converting screenshot text to editable content
Someone sent you a meme, error message, or chat screenshot with information you need to reference or quote. Instead of retyping everything, extract the text in seconds.
Pulling quotes from scanned documents
Researching with PDFs or scanned books? Extract specific paragraphs or citations without manual transcription. Select just the relevant section to avoid processing entire pages.
Grabbing code from tutorial images
Development tutorials often show code as images rather than copyable text. Extract the code snippets directly, then paste into your editor and adjust formatting as needed.
Digitizing business cards and receipts
Snap a photo of a business card or expense receipt, then extract the contact details or line items into a spreadsheet or CRM system.
Recovering text from protected content
Some websites or apps display text as images to prevent copying. This tool lets you recover that text for legitimate uses like accessibility or personal notes.
What to know before using it
Image quality affects accuracy
Clear, high-contrast images with standard fonts produce the best results. Blurry photos, unusual typefaces, or low-resolution screenshots may have recognition errors that need manual correction.
Handwriting recognition is limited
This tool is optimized for printed text. Handwritten notes, cursive, or stylized lettering may not be recognized accurately.
Complex layouts can confuse OCR
Tables, multi-column text, or mixed graphics may produce jumbled output. Use the selection tool to isolate individual sections for cleaner results.
Processing happens in your browser
Tesseract.js runs entirely client-side, which means privacy but also means larger images take longer on slower devices. The progress bar shows recognition status in real-time.
Non-English text requires additional setup
This tool is configured for English text only. Other languages would need different Tesseract language packs to be loaded.
FAQs
How accurate is the text extraction?
For clear, printed text in standard fonts, accuracy is typically 90-95%. Handwritten text, decorative fonts, or poor image quality will reduce accuracy. Always review the output before using it for important work.
Are my images uploaded to a server?
No. The OCR processing runs entirely in your browser using Tesseract.js. Your images never leave your computer, which makes this safe for sensitive documents.
Can I extract text from a PDF?
Only if the PDF contains scanned images rather than selectable text. For image-based PDFs, take a screenshot first, then upload the screenshot to this tool.
Why should I select a region instead of processing the whole image?
Selecting a specific area speeds up processing and improves accuracy by eliminating irrelevant content. It's especially useful for documents with mixed text and graphics.
Does this work on mobile devices?
Yes, the tool works on any modern browser including mobile. However, processing speed depends on your device's CPU - newer phones handle OCR faster than older models.
What file formats are supported?
PNG, JPG, WEBP, GIF, and BMP files all work. PNG generally produces the best results due to lossless compression. Maximum file size is 20 MB.
Can I edit the extracted text?
Yes, the output appears in an editable textarea where you can fix any recognition errors, reformat paragraphs, or make corrections before copying.